Correlation Between Hanil Chemical and Microfriend
Can any of the company-specific risk be diversified away by investing in both Hanil Chemical and Microfriend at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Hanil Chemical and Microfriend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanil Chemical Ind and Microfriend, you can compare the effects of market volatilities on Hanil Chemical and Microfriend and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Hanil Chemical with a short position of Microfriend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanil Chemical and Microfriend.
Diversification Opportunities for Hanil Chemical and Microfriend
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hanil and Microfriend is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Hanil Chemical Ind and Microfriend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microfriend and Hanil Chemical is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Hanil Chemical Ind are associated (or correlated) with Microfriend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microfriend has no effect on the direction of Hanil Chemical i.e., Hanil Chemical and Microfriend go up and down completely randomly.
Pair Corralation between Hanil Chemical and Microfriend
Assuming the 90 days trading horizon Hanil Chemical Ind is expected to generate 0.82 times more return on investment than Microfriend. However, Hanil Chemical Ind is 1.23 times less risky than Microfriend. It trades about 0.23 of its potential returns per unit of risk. Microfriend is currently generating about -0.19 per unit of risk. If you would invest 999,000 in Hanil Chemical Ind on September 27, 2024 and sell it today you would earn a total of 147,000 from holding Hanil Chemical Ind or generate 14.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hanil Chemical Ind vs. Microfriend
Performance |
Timeline |
Hanil Chemical Ind |
Microfriend |
Hanil Chemical and Microfriend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanil Chemical and Microfriend
The main advantage of trading using opposite Hanil Chemical and Microfriend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanil Chemical position performs unexpectedly, Microfriend can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Microfriend will offset losses from the drop in Microfriend's long position.Hanil Chemical vs. ABCO Electronics Co | Hanil Chemical vs. Pan Entertainment Co | Hanil Chemical vs. DC Media Co | Hanil Chemical vs. Tamul Multimedia Co |
Microfriend vs. Daejung Chemicals Metals | Microfriend vs. Hanil Chemical Ind | Microfriend vs. Kukdo Chemical Co | Microfriend vs. Youngchang Chemical Co |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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